Mindrift

Freelance Agent Evaluation Engineer

Mindrift
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20 hours ago
Remote, CanadaSenior

Responsibilities

  • Build realistic simulated developer environments containing codebases, infrastructure, tickets, documentation, conversations, and development history.
  • Design challenging tasks from intermediate environment states, including prompts and criteria defining what constitutes a correct solution.
  • Write functional and integration tests that accept valid agent solutions and reject incorrect ones without being overly strict or lenient.
  • Review agent solutions, analyze failures, and iterate on tasks and tests based on QA feedback.

Requirements

  • Have 5 or more years of software-development experience.
  • Have experience writing functional and integration tests.
  • Have experience with Python and FastAPI, JavaScript/TypeScript and React, Docker, Postgres, Kafka, and Redis.
  • Demonstrate English proficiency at B2 level or higher.
  • Hold a master's degree in a relevant field, or hold a bachelor's degree with five years of experience in the field.
  • Candidates in QA automation/testing or cybersecurity roles should have at least 3 years of professional experience in related roles or domains.

Benefits

  • Part-time, remote, freelance project-based work that can fit around other professional or academic commitments.
  • Opportunity to work on advanced AI projects, enhance a portfolio, and influence how future AI models understand and communicate in the field.
  • Paid per accepted task, with rates determined by qualification tier and completion efficiency.
Mindrift

About Mindrift

1,001-5,000 employees

Mindrift builds an expert-sourcing platform that connects domain specialists to project-based work training and evaluating generative AI models, including supervised fine-tuning, RLHF, evaluation, and red-teaming. It is built and operated by Toloka, part of Nebius Group, and run from Amsterdam, Netherlands. Work is fully remote and freelance, serving global technology companies developing and improving large AI systems.

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